PYTH PYTH / FTT Crypto vs LSSOL LSSOL / FTT Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / FTTLSSOL / FTT
📈 Performance Metrics
Start Price 0.19261.60
End Price 0.13261.52
Price Change % -31.90%-0.03%
Period High 0.26305.15
Period Low 0.09193.96
Price Range % 189.5%57.3%
🏆 All-Time Records
All-Time High 0.26305.15
Days Since ATH 76 days56 days
Distance From ATH % -50.4%-14.3%
All-Time Low 0.09193.96
Distance From ATL % +43.7%+34.8%
New ATHs Hit 1 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.31%4.17%
Biggest Jump (1 Day) % +0.13+30.41
Biggest Drop (1 Day) % -0.05-72.39
Days Above Avg % 33.4%43.7%
Extreme Moves days 11 (3.2%)4 (5.7%)
Stability Score % 0.0%97.5%
Trend Strength % 50.1%45.7%
Recent Momentum (10-day) % +0.47%+13.18%
📊 Statistical Measures
Average Price 0.14240.82
Median Price 0.13235.01
Price Std Deviation 0.0329.09
🚀 Returns & Growth
CAGR % -33.55%-0.16%
Annualized Return % -33.55%-0.16%
Total Return % -31.90%-0.03%
⚠️ Risk & Volatility
Daily Volatility % 7.78%6.12%
Annualized Volatility % 148.61%116.85%
Max Drawdown % -56.82%-36.44%
Sharpe Ratio 0.0190.033
Sortino Ratio 0.0240.028
Calmar Ratio -0.590-0.005
Ulcer Index 35.6422.75
📅 Daily Performance
Win Rate % 49.7%53.6%
Positive Days 17037
Negative Days 17232
Best Day % +95.03%+15.68%
Worst Day % -29.08%-27.18%
Avg Gain (Up Days) % +4.43%+4.15%
Avg Loss (Down Days) % -4.08%-4.36%
Profit Factor 1.071.10
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 85
💹 Trading Metrics
Omega Ratio 1.0731.100
Expectancy % +0.15%+0.20%
Kelly Criterion % 0.82%1.12%
📅 Weekly Performance
Best Week % +73.25%+11.95%
Worst Week % -28.61%-22.45%
Weekly Win Rate % 50.0%66.7%
📆 Monthly Performance
Best Month % +84.19%+15.85%
Worst Month % -50.71%-12.83%
Monthly Win Rate % 53.8%75.0%
🔧 Technical Indicators
RSI (14-period) 57.2876.57
Price vs 50-Day MA % -6.42%+14.93%
Price vs 200-Day MA % -7.60%N/A

Performance Metrics: Shows the price at the start and end of the period, total change, and the highest/lowest prices reached during this time frame. | All-Time Records: All-time records show the highest and lowest prices ever reached during this period, how far the current price is from those extremes, and how long ago they occurred. | Easy-to-Understand Stats: Easy-to-understand metrics including typical daily price movements, biggest single-day gains/losses, how often price stayed above average, stability measures, and short-term momentum trends. | Returns & Growth: CAGR (Compound Annual Growth Rate) shows the annualized return rate if this growth continued consistently, while annualized and total returns show performance scaled to different time periods. | Risk & Volatility: Risk metrics show price volatility (daily and annualized), maximum drawdown (worst peak-to-trough decline), and various ratios (Sharpe, Sortino, Calmar, Treynor, Information) that measure risk-adjusted returns. | Daily Performance: Daily performance shows positive vs negative days, win rate, best and worst single days, average gains/losses on up/down days, gain/loss ratio, and profit factor (total gains divided by total losses). | Trading Metrics: Trading metrics include Omega ratio (probability-weighted gains vs losses), payoff ratio (avg win/avg loss), expectancy (expected return per trade), Kelly Criterion (optimal position sizing %), and price efficiency (trending vs choppy).

📊 Asset Correlations

Correlation coefficient ranges from -1 (perfectly inverse) to +1 (perfectly correlated).

PYTH (PYTH) vs LSSOL (LSSOL): 0.837 (Strong positive)

Correlation shows how closely asset prices move together: +1.0 means perfect positive correlation (move in sync), 0 means no relationship, -1.0 means perfect negative correlation (move opposite). Lower correlation can help with portfolio diversification.

Data sources

PYTH: Kraken
LSSOL: Kraken
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